Data Scientist, AI Data Foundations

What this role involves

The Data Scientist role focuses on building and maintaining curated data structures (vector stores, feature stores, graph databases) for AI/ML consumption. The Data Scientist will design embedding pipelines, own feature store assets, and lead data discovery. They will work closely with ML engineers and applied scientists to ensure high-quality, well-governed data.

Skills this posting asks for

• python
• sql
• pandas
• numpy
• scikit-learn
• pyspark
• databricks
• vector stores
• rag
• embedding models
• hugging face
• openai api
• langchain
• feature store
• feast
• neo4j
• tigergraph
• azure cosmos db gremlin
• graph databases
• retrieval evaluation
• data profiling

Requirements

• 4 years of experience
• Level: senior

From the employer’s posting

Data Scientist, AI Data Foundations About the Role Reporting into the Data Engineering organization, the Data Scientist is responsible for designing and building the curated data structures that AI and ML applications consume across MeridianLink. You will own the vector stores behind our RAG syst…